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首页> 外文会议>International Conference on Universal Digital Library(ICUDL2005); 20051031-1102; Hangzhou(CN) >An Evolutionary Simulated Annealing Algorithm Design for Multistage Vector Quantization
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An Evolutionary Simulated Annealing Algorithm Design for Multistage Vector Quantization

机译：用于多级矢量量化的进化模拟退火算法设计。

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摘要

Multistage Vector Quantization (MSVQ) can achieve very low coding and storage complexity in comparison to unstructed vector quantization. However, the conventional stage-by-stage design of the codebooks in MSVQ is suboptimal with respect to the overall performance measure. Simulated evolutionary and simulated annealing are two stochastic search algorithms for solving global optimization problems. They have been widely used in difference application areas. In this paper, a evolutionary simulated annealing algorithm is proposed which combines simulated evolutionary with simulated annealing to solve the codebook design problem of MSVQ for speech coding. Experimental results show that the algorithm has fast convergence rate and good performance for codebook.
机译：与非结构化矢量量化相比，多级矢量量化（MSVQ）可以实现非常低的编码和存储复杂性。但是，就整体性能指标而言，MSVQ中码本的常规分步设计是次优的。模拟进化和模拟退火是用于解决全局优化问题的两种随机搜索算法。它们已被广泛用于不同的应用领域。本文提出了一种进化模拟退火算法，将模拟进化与模拟退火相结合，解决了语音编码中MSVQ的码本设计问题。实验结果表明，该算法收敛速度快，码本性能良好。

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